SCIENCES ET TECHNOLOGIES DE L'INFORMATION ET DES MATERIAUX
暂无分享,去创建一个
[1] U. Jonsson. Design of a high-speed permanent-magnet brushless generator for microturbines , 2005 .
[2] Boris Polyak. The conjugate gradient method in extremal problems , 1969 .
[3] Jérôme Idier,et al. A half-quadratic block-coordinate descent method for spectral estimation , 2002, Signal Process..
[4] R. Glises,et al. Thermal modelling for an induction motor , 1993 .
[5] E. Bølviken,et al. Blind deconvolution of ultrasonic traces accounting for pulse variance , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[6] Jérôme Idier,et al. Optimized single site update algorithms for image deblurring , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[7] L. Paradis,et al. Use of a Priori Information for the Deconvolution of Ultrasonic Signals , 1998 .
[8] J. C. Rama,et al. High-speed electric drives: technology and opportunity , 1997 .
[9] Michel Barlaud,et al. Two deterministic half-quadratic regularization algorithms for computed imaging , 1994, Proceedings of 1st International Conference on Image Processing.
[10] M. V. K. Chari,et al. Analysis of Turboalternator Magnetic Fields by Finite Elements , 1971 .
[11] P. Wolfe. Convergence Conditions for Ascent Methods. II: Some Corrections , 1971 .
[12] R. H. Pry,et al. Calculation of the Energy Loss in Magnetic Sheet Materials Using a Domain Model , 1958 .
[13] M Fatemi,et al. Ultrasonic B-scan imaging: theory of image formation and a technique for restoration. , 1980, Ultrasonic imaging.
[14] A. N. Tikhonov,et al. REGULARIZATION OF INCORRECTLY POSED PROBLEMS , 1963 .
[15] Jérôme Idier,et al. Convex half-quadratic criteria and interacting auxiliary variables for image restoration , 2001, IEEE Trans. Image Process..
[16] A. Petropulu,et al. Higher order spectra based deconvolution of ultrasound images , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[17] Mehiddin Al-Baali,et al. On the Order of Convergence of Preconditioned Nonlinear Conjugate Gradient Methods , 1996, SIAM J. Sci. Comput..
[18] Kenneth Sörensen,et al. A genetic algorithm for robust schedules in a one-machine environment with ready times and due dates , 2004, 4OR.
[19] Curtis R. Vogel,et al. Iterative Methods for Total Variation Denoising , 1996, SIAM J. Sci. Comput..
[20] Sun-Min Kim,et al. Prediction of thermo-elastic behavior in a spindle–bearing system considering bearing surroundings , 2001 .
[21] J. Saniie,et al. Model-based estimation of ultrasonic echoes. Part II: Nondestructive evaluation applications , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[22] Yves Goussard,et al. On global and local convergence of half-quadratic algorithms , 2006, IEEE Trans. Image Process..
[23] R. Fletcher. Practical Methods of Optimization , 1988 .
[24] Wolfgang Mackens,et al. Computing the Minimum Eigenvalue of a Symmetric Positive Definite Toeplitz Matrix by Newton-type Methods , 1999, SIAM J. Sci. Comput..
[25] John R. Hull,et al. Design and testing of the HTS bearing for a 10 kWh flywheel system , 2002 .
[26] Michel Barlaud,et al. Deterministic edge-preserving regularization in computed imaging , 1997, IEEE Trans. Image Process..
[27] P. Tsao,et al. A synchronous homopolar machine for high-speed applications , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).
[28] Frédéric Champagnat,et al. A connection between half-quadratic criteria and EM algorithms , 2004, IEEE Signal Processing Letters.
[29] M. Hestenes,et al. Methods of conjugate gradients for solving linear systems , 1952 .
[30] S. Nash. A survey of truncated-Newton methods , 2000 .
[31] Stuart Geman,et al. Statistical methods for tomographic image reconstruction , 1987 .
[32] Isabelle Bloch,et al. Modeling anisotropic undersampling of magnetic resonance angiographies and reconstruction of a high-resolution isotropic volume using half-quadratic regularization techniques , 2004, Signal Process..
[33] Xavier Descombes,et al. Estimating Gaussian Markov random field parameters in a nonstationary framework: application to remote sensing imaging , 1999, IEEE Trans. Image Process..
[34] T. Chevalier,et al. Estimation of magnetic loss in an induction motor fed with sinusoidal supply using a finite element software and a new approach to dynamic hysteresis , 1999 .
[35] David J. Thuente,et al. Line search algorithms with guaranteed sufficient decrease , 1994, TOMS.
[36] T. Hebert,et al. A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors. , 1989, IEEE transactions on medical imaging.
[37] Ken D. Sauer,et al. A generalized Gaussian image model for edge-preserving MAP estimation , 1993, IEEE Trans. Image Process..
[38] H. Schomberg,et al. Lateral Inverse Filtering of Ultrasonic B-Scan Images , 1983 .
[39] M. Powell. Nonconvex minimization calculations and the conjugate gradient method , 1984 .
[40] Ali Mohammad-Djafari,et al. Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF , 1998, IEEE Trans. Image Process..
[41] M. Zaím. Non-linear models for the design of solid rotor induction machines , 1999 .
[42] Kjetil F. Kaaresen. Evaluation and applications of the iterated window maximization method for sparse deconvolution , 1998, IEEE Trans. Signal Process..
[43] B. Mecrow,et al. Design and testing of a universal motor using a soft magnetic composite stator , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).
[44] A Herment,et al. Range Resolution Improvement by a Fast Deconvolution Method , 1984, Ultrasonic imaging.
[45] Stan Z. Li,et al. On Discontinuity-Adaptive Smoothness Priors in Computer Vision , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[46] Michael J. Black,et al. On the unification of line processes, outlier rejection, and robust statistics with applications in early vision , 1996, International Journal of Computer Vision.
[47] J. Besag,et al. Bayesian Computation and Stochastic Systems , 1995 .
[48] L. Vese,et al. A Variational Method in Image Recovery , 1997 .
[49] Mariano Rivera,et al. Efficient half-quadratic regularization with granularity control , 2003, Image Vis. Comput..
[50] Seung-Ki Sul,et al. Implementation of sensorless vector control for super-high speed PMSM of turbo-compressor , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).
[51] R. Courant. Variational methods for the solution of problems of equilibrium and vibrations , 1943 .
[52] Michel Barlaud,et al. Poisson statistic and half-quadratic regularization for emission tomography reconstruction algorithm , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[53] Paul Tseng,et al. Relaxation methods for problems with strictly convex separable costs and linear constraints , 1987, Math. Program..
[54] L. C. W. Dixon. Conjugate Directions without Linear Searches , 1973 .
[55] H. Hofmann,et al. High-speed synchronous reluctance machine with minimized rotor losses , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).
[56] Andrew Blake,et al. Comparison of the Efficiency of Deterministic and Stochastic Algorithms for Visual Reconstruction , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[57] Gordon Hayward,et al. Comparison of some non-adaptive deconvolution techniques for resolution enhancement of ultrasonic data , 1989 .
[58] J A Jensen,et al. Deconvolution of Ultrasound Images , 1992, Ultrasonic imaging.
[59] Yoram Bresler,et al. Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography , 1998, IEEE Trans. Image Process..
[60] F. M. Sargos,et al. On the modelling of saturated synchro-reluctant machines considering cross magnetization effect , 1996 .
[61] Jeffrey A. Fessler,et al. Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction , 1999, IEEE Trans. Image Process..
[62] Benayad Nsiri,et al. Blind marine seismic deconvolution using statistical MCMC methods , 2003 .
[63] Frédéric Champagnat,et al. Deconvolution of sparse spike trains accounting for wavelet phase shifts and colored noise , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[64] Heath Hofmann,et al. Synchronous reluctance motor/alternator for flywheel energy storage systems , 1996, Power Electronics in Transportation.
[65] Vincent Mazet,et al. Background removal from spectra by designing and minimising a non-quadratic cost function , 2005 .
[66] Christian P. Robert,et al. Monte Carlo Statistical Methods (Springer Texts in Statistics) , 2005 .
[67] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .
[68] John D. Herbst,et al. Design and stress analysis of a high speed rotor for an advanced induction motor , 2004 .
[69] G. Bertotti. General properties of power losses in soft ferromagnetic materials , 1988 .
[70] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[71] O. Husby,et al. Bayesian 2-D deconvolution: a model for diffuse ultrasound scattering , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[72] William H. Press,et al. The Art of Scientific Computing Second Edition , 1998 .
[73] W. Hager,et al. A SURVEY OF NONLINEAR CONJUGATE GRADIENT METHODS , 2005 .
[74] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[75] Bernard Chalmond,et al. Coherent 3-D echo detection for ultrasonic imaging , 2003, IEEE Trans. Signal Process..
[76] David M. Herrington,et al. Estimation of complex ultrasonic medium responses by deconvolution , 2002, Proceedings IEEE International Symposium on Biomedical Imaging.
[77] C. M. Reeves,et al. Function minimization by conjugate gradients , 1964, Comput. J..
[78] J. Saniie,et al. Model-based estimation of ultrasonic echoes. Part I: Analysis and algorithms , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[79] R. Jirik,et al. Superresolution of ultrasound images using the first and second harmonic signal , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[80] Donald Geman,et al. Nonlinear image recovery with half-quadratic regularization , 1995, IEEE Trans. Image Process..
[81] Joseph Kaye,et al. Measurements of Diabatic Flow in an Annulus With an Inner Rotating Cylinder , 1962 .
[82] Josiane Zerubia,et al. An adaptive Gaussian model for satellite image deblurring , 2004, IEEE Transactions on Image Processing.
[83] Jorge Nocedal,et al. Global Convergence Properties of Conjugate Gradient Methods for Optimization , 1992, SIAM J. Optim..
[84] Éric Chauveau. Contribution au calcul electromagnetique et thermique des machines electriques application a l'etude de l'influence des harmoniques sur l'echauffement des moteurs asynchrones , 2001 .
[85] Michel Barlaud,et al. Image coding using wavelet transform , 1992, IEEE Trans. Image Process..
[86] G. Grellet. Pertes dans les machines tournantes , 1989 .
[87] R.G. Harley,et al. Looking for an optimal rotor for high speed permanent magnet synchronous machine , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.
[88] Zhenjun Shi,et al. A gradient-related algorithm with inexact line searches , 2004 .
[89] F. Forsberg,et al. Higher order versus second order statistics in ultrasound image deconvolution , 1997, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[90] Mila Nikolova,et al. Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[91] C. Storey,et al. Efficient generalized conjugate gradient algorithms, part 1: Theory , 1991 .
[92] Ya-Xiang Yuan,et al. A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property , 1999, SIAM J. Optim..
[93] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .
[94] Hifumi Tabata,et al. Study of high efficiency turbocompressor: Development of high-speed and high-pressure Dry-Gas-Seal , 2005 .
[95] Ulrich Eckhardt,et al. Linear convergence of generalized Weiszfeld's method , 1980, Computing.
[96] T. Chan,et al. On the Convergence of the Lagged Diffusivity Fixed Point Method in Total Variation Image Restoration , 1999 .
[97] Pierre Moulin,et al. Analysis of Multiresolution Image Denoising Schemes Using Generalized Gaussian and Complexity Priors , 1999, IEEE Trans. Inf. Theory.
[98] Jianguo Zhu,et al. Design and Analysis of Electric Motors with Soft Magnetic Composite Core , 2005 .
[99] Bobby R. Hunt,et al. Bayesian Methods in Nonlinear Digital Image Restoration , 1977, IEEE Transactions on Computers.
[100] Jerry M. Mendel,et al. Optimal seismic deconvolution , 1983 .
[101] Rong Chen,et al. Simultaneous wavelet estimation and deconvolution of reflection seismic signals , 1996, IEEE Trans. Geosci. Remote. Sens..
[102] M. Stephens. Dealing with label switching in mixture models , 2000 .
[103] Jianqing Fan,et al. Regularization of Wavelet Approximations , 2001 .
[104] Mila Nikolova,et al. Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery , 2005, SIAM J. Sci. Comput..
[105] Tadashi Fukao,et al. Test results on a super-high-speed amorphous-iron reluctance motor , 1989 .
[106] Raymond H. Chan,et al. Conjugate Gradient Methods for Toeplitz Systems , 1996, SIAM Rev..
[107] Ken D. Sauer,et al. A unified approach to statistical tomography using coordinate descent optimization , 1996, IEEE Trans. Image Process..
[108] Gene H. Golub,et al. Some History of the Conjugate Gradient and Lanczos Algorithms: 1948-1976 , 1989, SIAM Rev..
[109] Eric L. Miller,et al. Wavelet domain image restoration with adaptive edge-preserving regularization , 2000, IEEE Trans. Image Process..
[110] Donald Geman,et al. Constrained Restoration and the Recovery of Discontinuities , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[111] Jeffrey A. Fessler,et al. Fast Monotonic Algorithms for Transmission Tomography , 1999, IEEE Trans. Medical Imaging.
[112] I. Takahashi,et al. A super high speed PM motor drive system by a quasi-current source inverter , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.
[113] Gaofeng Wang,et al. Solution of inverse problems in image processing by wavelet expansion , 1995, IEEE Trans. Image Process..
[114] Konstantin O. Petrosjanc,et al. Mixed electrical-thermal and electrical-mechanical simulation of electromechatronic systems using PSpice , 1994, EURO-DAC '94.
[115] M. Ozisik. Heat Transfer: A Basic Approach , 1984 .
[116] Linda Kaufman,et al. Maximum likelihood, least squares, and penalized least squares for PET , 1993, IEEE Trans. Medical Imaging.
[117] Ya-Xiang Yuan,et al. A three-parameter family of nonlinear conjugate gradient methods , 2001, Math. Comput..
[118] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[119] Jie Shen,et al. Convergence Property and Modifications of a Memory Gradient Method , 2005, Asia Pac. J. Oper. Res..
[120] D. Trichet,et al. A magneto-thermal study of a high-speed synchronous reluctance machine , 2006, IEEE Transactions on Magnetics.
[121] L. Paradis,et al. A Two-Step Inverse Procedure for Outer Surface Defects Characterization from Ultrasonic BScan Images , 1998 .
[122] Raymond H. Chan,et al. A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions , 1999, SIAM J. Sci. Comput..
[123] W. Vollmann,et al. Resolution Enhancement of Ultrasonic B-Scan Images by Deconvolution , 1982, IEEE Transactions on Sonics and Ultrasonics.
[124] J. Idier,et al. Convergence of Conjugate Gradient Methods with a Closed-Form Stepsize Formula , 2008 .
[125] E. Hundt,et al. Digital Processing of Ultrasonic Data by Deconvolution , 1980, IEEE Transactions on Sonics and Ultrasonics.
[126] A. P. G. Hoeks,et al. The Practical Significance of Two-Dimensional Deconvolution in Echography , 1987 .
[127] Hamid Sheikhzadeh,et al. Improving the time-resolution and signal-to-noise ratio of ultrasonic NDE signals , 2004 .
[128] Antero Arkkio,et al. High speed AC motors , 1997 .
[129] Andrew Blake,et al. Visual Reconstruction , 1987, Deep Learning for EEG-Based Brain–Computer Interfaces.
[130] Yves Bertin,et al. Thermal behavior of an electrical motor through a reduced model , 2000 .
[131] M. Nashed. Operator-theoretic and computational approaches to Ill-posed problems with applications to antenna theory , 1981 .
[132] Mila Nikolova,et al. Markovian reconstruction using a GNC approach , 1999, IEEE Trans. Image Process..
[133] William H. Press,et al. Numerical recipes in C. The art of scientific computing , 1987 .
[134] Mila Nikolova,et al. Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers , 2002, SIAM J. Numer. Anal..
[135] Robin J. Evans,et al. Signal processing applied to ultrasonic imaging , 1992, [1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing.
[136] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[137] Jiapu Zhang,et al. Global Convergence of Conjugate Gradient Methods without Line Search , 2001, Ann. Oper. Res..
[138] Gerhard Winkler,et al. Image analysis, random fields and dynamic Monte Carlo methods: a mathematical introduction , 1995, Applications of mathematics.